Triple
T3425954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBrains |
E72229
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object | Rider |
E34650
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rider | Statement: [JetBrains, develops, Rider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rider Context triple: [JetBrains, develops, Rider]
-
A.
Rider
chosen
Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
-
B.
Ryder
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
-
C.
Freerider
Freerider is a famous big-wall free climbing route on El Capitan in Yosemite National Park, renowned for its difficulty and for being the line Alex Honnold soloed in the film "Free Solo."
-
D.
Sportsman
Sportsman was a prominent named passenger train operated by the Chesapeake and Ohio Railway, known for providing long-distance service across the eastern United States in the mid-20th century.
-
E.
The Miracle Rider
The Miracle Rider is a 1935 Western film serial starring Tom Mix as a Texas Ranger battling corruption and modern threats to Native American land.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9812a648190ac919e7291744b5a |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354766bcc81909fb3124262c93f8f |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.